Project

Motivation

  • One of the most urgent environmental issues is a decline in biodiversity caused by human activities
  • Scientists and environmental NGOs complain about an increasing lack of species knowledge in the society
  • Specialists familiar with species identification are decreasing

Pfeil  How shall we convince the people to  protect species that they do not know?

One big challenge is that identifying plant species on the traditional way using dichotomous keys is usually impossible for the general public, and often a difficult task for professionals, such as foresters or farmers even for the botanists themselves.

Today there is an increasing interest in automating the process of species identification. The development and ubiquity of relevant technologies, such as digital cameras and portable computers, the remote access to external databases, new techniques in image processing and pattern recognition has bought these ideas closer to reality.

 

Aim/Objectives

  • Developing an interactive and incremental method for the semi-automated identification of plant species
  • Creating a repository of the wild flowering plants of middle Germany customized to specifics of automated recognition
  • Developing didactically optimized user interactions and species information within the identification process
  • Developing an automated field mapping system for the identified plant species and their registration within central databases of the Nature Conservation authorities

 

Approach